How do I find my OpenExchange App ID?

Log in to your [**Open Exchange Rates dashboard**](https://openexchangerates.org/login), and you will find your App ID on the home page. Copy and paste it below.

Does it support historical data?

Yes. The `get_historical_rates` tool allows you to retrieve the official closing rates for any date since 1999.

Can the agent perform currency conversions?

Yes. The `convert_currency` tool calculates the conversion between two currencies based on the latest market data instantly.

OpenExchangeAPI MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: OpenExchangeAPI
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OpenExchangeAPI through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to OpenExchangeAPI "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in OpenExchangeAPI?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About OpenExchangeAPI MCP Server

Empower your AI agent to orchestrate your entire financial research and currency auditing workflow with OpenExchangeAPI, the reliable source for global exchange rates. By connecting OpenExchangeAPI to your agent, you transform complex currency data lookups into a natural conversation. Your agent can instantly retrieve latest rates, audit historical currency trends, and perform precise conversions without you ever touching a financial terminal. Whether you are conducting market analysis or managing international payments, your agent acts as a real-time financial analyst, ensuring your intelligence is always grounded in accurate, up-to-the-minute market data.

Pydantic AI validates every OpenExchangeAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Rate Auditing — Retrieve real-time exchange rates for over 200 currencies and maintain a clear view of global market fluctuations.
Historical Oversight — Query historical rates for any specific date to audit past financial trends and valuations.
Conversion Intelligence — Perform instant currency conversions between any pairs to assist in international budgeting.
Temporal Intelligence — Query exchange rate time series to monitor currency performance over specific periods.
Usage Monitoring — Get real-time API usage and plan metadata to maintain strict control over your research budget.

The OpenExchangeAPI MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect OpenExchangeAPI to Pydantic AI via MCP

Follow these steps to integrate the OpenExchangeAPI MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from OpenExchangeAPI with type-safe schemas

Why Use Pydantic AI with the OpenExchangeAPI MCP Server

Pydantic AI provides unique advantages when paired with OpenExchangeAPI through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OpenExchangeAPI integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your OpenExchangeAPI connection logic from agent behavior for testable, maintainable code

OpenExchangeAPI + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the OpenExchangeAPI MCP Server delivers measurable value.

Type-safe data pipelines: query OpenExchangeAPI with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple OpenExchangeAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query OpenExchangeAPI and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock OpenExchangeAPI responses and write comprehensive agent tests

OpenExchangeAPI MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect OpenExchangeAPI to Pydantic AI via MCP:

convert_currency

Convert an amount from one currency to another

get_api_usage

Get current API usage and plan details

get_historical_rates

Get exchange rates for a specific historical date

get_latest_rates

Get the latest exchange rates for a base currency

get_rate_time_series

Get historical rates over a time period

list_supported_currencies

List all supported currency codes and names

Example Prompts for OpenExchangeAPI in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with OpenExchangeAPI immediately.

"Get the latest exchange rates for 'EUR' using OpenExchangeAPI."

"Convert 100 USD to BRL."

"What was the exchange rate for USD/JPY on 2020-01-01?"

Troubleshooting OpenExchangeAPI MCP Server with Pydantic AI

Common issues when connecting OpenExchangeAPI to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OpenExchangeAPI + Pydantic AI FAQ

Common questions about integrating OpenExchangeAPI MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your OpenExchangeAPI MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.